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video-generator

Rask AI

Clean video dubbing on the free tier, but lip sync is locked behind Creator Pro.

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Free Trial130+ languages32 voice-clone languagesLip sync paid tier
TL;DR — our verdictUpdated August 2026 · 6 test artifacts

Good visual output, but the core use case is paywalled

Where it wins
  • You want a no-cost first pass to see whether Rask will dub a video cleanly without breaking the visuals.
  • You mainly care about preserving the original frame, overlays, and general render stability.
  • You need a broad language-localization platform and can upgrade later for lip sync.
Main limitation
  • You need to validate lip sync or face regeneration on the free plan.
Pricing (verified plans)
Free Trial $0Creator $33/mo billed yearlyCreator Pro $78/mo billed yearlyBusiness $500/mo billed yearly
Strongest test artifacts

Our take

Rask AI's free tier cleanly passes the video through and applies a dubbing layer without visual corruption, but the core lip-sync part of this use case is gated behind Creator Pro and above, so the main promise could not be verified in this test. Baked-in text stays untouched, and the generated emphasis-caption layer can still misfire on source-language fragments.

Screen recording from the public homepage into the Rask app workspace, showing the trial banner, translation project card, and generating status.

In-Depth Review

Our detailed analysis of Rask AI — features, performance, and real-world testing.

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Verified Review

Feature-by-Feature Breakdown

Video Dubbing and Translation
A dubbing layer appears on the output, but the free-tier evidence does not let the translated audio or lip sync be verified.
Test Summary
Feature tested: Video Dubbing and Translation
Result: Partial — A dubbing layer appears on the output, but the free-tier evidence does not let the translated audio or lip sync be verified.

Feature tested: Video Dubbing and Translation

Result: Partial

Verdict: A dubbing layer appears on the output, but the free-tier evidence does not let the translated audio or lip sync be verified.

Expected behavior: Takes a source video and returns a translated dubbed video output. The cards exercised this on English→Hindi fitness, English→Spanish educational, and Hindi→English promo clips, with visible translated-video export behavior and a free-tier watermark/export pipeline.

Test case: Video file → Video file

Input type: Video file

Input used: Input artifact (Video file): Input — Input 1 Fitness Video (online-video-cutter.com).mp4

Observed output: Output artifact (Video file): Vertical gym interview output with a TRANSLATED BY RASK watermark. The source framing and overlays pass through cleanly, but the burned-in English on-screen text remains unchanged and no face or lip regeneration is visible on the free tier. — Rask.ai output 1.mp4

Input artifact: Input artifact (Video file): Input — Input 1 Fitness Video (online-video-cutter.com).mp4

Output artifact: Output artifact (Video file): Vertical gym interview output with a TRANSLATED BY RASK watermark. The source framing and overlays pass through cleanly, but the burned-in English on-screen text remains unchanged and no face or lip regeneration is visible on the free tier. — Rask.ai output 1.mp4

What changed: Video file transformed into Video file

Test case: Video file → Video file

Input type: Video file

Input used: Input artifact (Video file): Input — Input 2 Educational.mp4

Observed output: Output artifact (Video file): Translated banana-ripeness educational output with watermark. The video render is clean, but the diagram labels Unripe, Ripe, Overripe, and Rotten stay in English, and the frame comparison shows no visible lip-sync change on the free tier. — Rask.ai optput 2.mp4

Input artifact: Input artifact (Video file): Input — Input 2 Educational.mp4

Output artifact: Output artifact (Video file): Translated banana-ripeness educational output with watermark. The video render is clean, but the diagram labels Unripe, Ripe, Overripe, and Rotten stay in English, and the frame comparison shows no visible lip-sync change on the free tier. — Rask.ai optput 2.mp4

What changed: Video file transformed into Video file

Test case: Video file → Video file

Input type: Video file

Input used: Input artifact (Video file): Input — Free Copyright Stock Videos Images And Music.publer.com (online-video-cutter.com).mp4

Observed output: Output artifact (Video file): Hindi→English output of the talking-head promo with watermark. Visual rendering stays clean and the source English branding passes through untouched, but the auto-generated emphasis captions appear as HAR and BHII in Romanized Hindi rather than translated English. — Rask.ai output 3.mp4

Input artifact: Input artifact (Video file): Input — Free Copyright Stock Videos Images And Music.publer.com (online-video-cutter.com).mp4

Output artifact: Output artifact (Video file): Hindi→English output of the talking-head promo with watermark. Visual rendering stays clean and the source English branding passes through untouched, but the auto-generated emphasis captions appear as HAR and BHII in Romanized Hindi rather than translated English. — Rask.ai output 3.mp4

What changed: Video file transformed into Video file

Why it matters / Conclusion: Useful as a clean free-tier dubbing exporter, but the main voice-and-lip-sync outcome could not be fully evaluated here.

Takes a source video and returns a translated dubbed video output. The cards exercised this on English→Hindi fitness, English→Spanish educational, and Hindi→English promo clips, with visible translated-video export behavior and a free-tier watermark/export pipeline.

OUTPUT
Vertical gym interview output with a TRANSLATED BY RASK watermark. The source framing and overlays pass through cleanly, but the burned-in English on-screen text remains unchanged and no face or lip regeneration is visible on the free tier.
OUTPUT
Translated banana-ripeness educational output with watermark. The video render is clean, but the diagram labels Unripe, Ripe, Overripe, and Rotten stay in English, and the frame comparison shows no visible lip-sync change on the free tier.
OUTPUT
Hindi→English output of the talking-head promo with watermark. Visual rendering stays clean and the source English branding passes through untouched, but the auto-generated emphasis captions appear as HAR and BHII in Romanized Hindi rather than translated English.
Bottom Line
Useful as a clean free-tier dubbing exporter, but the main voice-and-lip-sync outcome could not be fully evaluated here.
From our researchTranslate Videos with Voice Cloning and Lip Sync Using AIearlier research
Caption and Text-Layer Handling
Static text is preserved, but translated emphasis captions are unreliable.
Test Summary
Feature tested: Caption and Text-Layer Handling
Result: Partial — Static text is preserved, but translated emphasis captions are unreliable.

Feature tested: Caption and Text-Layer Handling

Result: Partial

Verdict: Static text is preserved, but translated emphasis captions are unreliable.

Expected behavior: Preserves baked-in source text while generating a caption or emphasis-text layer during dubbing. Across the fitness, educational, and vlog clips, it kept existing text intact but sometimes surfaced source-language fragments in the generated caption layer.

Test case: Video file → Video file

Input type: Video file

Input used: Input artifact (Video file): Input — Input 1 Fitness Video (online-video-cutter.com).mp4

Observed output: Output artifact (Video file): Burned-in English text in the source stayed in English, which is expected for text baked into the video frame. — Rask.ai output 1.mp4

Input artifact: Input artifact (Video file): Input — Input 1 Fitness Video (online-video-cutter.com).mp4

Output artifact: Output artifact (Video file): Burned-in English text in the source stayed in English, which is expected for text baked into the video frame. — Rask.ai output 1.mp4

What changed: Video file transformed into Video file

Test case: Video file → Video file

Input type: Video file

Input used: Input artifact (Video file): Input — Input 2 Educational.mp4

Observed output: Output artifact (Video file): The banana-ripeness labels 'Unripe', 'Ripe', 'Overripe', and 'Rotten' were not localized. — Rask.ai optput 2.mp4

Input artifact: Input artifact (Video file): Input — Input 2 Educational.mp4

Output artifact: Output artifact (Video file): The banana-ripeness labels 'Unripe', 'Ripe', 'Overripe', and 'Rotten' were not localized. — Rask.ai optput 2.mp4

What changed: Video file transformed into Video file

Test case: Video file → Video file

Input type: Video file

Input used: Input artifact (Video file): Input — Free Copyright Stock Videos Images And Music.publer.com (online-video-cutter.com).mp4

Observed output: Output artifact (Video file): The word-emphasis caption layer surfaced 'HAR' and 'BHII' in Roman-script Hindi instead of translating them to English. — Rask.ai output 3.mp4

Input artifact: Input artifact (Video file): Input — Free Copyright Stock Videos Images And Music.publer.com (online-video-cutter.com).mp4

Output artifact: Output artifact (Video file): The word-emphasis caption layer surfaced 'HAR' and 'BHII' in Roman-script Hindi instead of translating them to English. — Rask.ai output 3.mp4

What changed: Video file transformed into Video file

Why it matters / Conclusion: Baked-in text is preserved, but translated emphasis captions are unreliable.

Preserves baked-in source text while generating a caption or emphasis-text layer during dubbing. Across the fitness, educational, and vlog clips, it kept existing text intact but sometimes surfaced source-language fragments in the generated caption layer.

OUTPUT
Burned-in English text in the source stayed in English, which is expected for text baked into the video frame.
OUTPUT
The banana-ripeness labels 'Unripe', 'Ripe', 'Overripe', and 'Rotten' were not localized.
OUTPUT
The word-emphasis caption layer surfaced 'HAR' and 'BHII' in Roman-script Hindi instead of translating them to English.
Bottom Line
Baked-in text is preserved, but translated emphasis captions are unreliable.
From our researchTranslate Videos with Voice Cloning and Lip Sync Using AI

Plans and pricing

Lip sync is explicitly listed as a Creator Pro-tier feature and above.

TESTED
Free Trial
$0
3 minutes included; video translation and voice cloning included; lip sync not included.
Creator
$33/mo billed yearly ($396/yr; $60/mo month-to-month)
300 minutes/year; lip sync is not listed as included.
Creator Pro
$78/mo billed yearly ($936/yr; $150/mo month-to-month)
1,200 minutes/year; includes 'Preserve speaker identity with lip-sync'.
Business
$500/mo billed yearly ($6,000/yr)
6,000 minutes/year; lip sync included.
Enterprise
Custom
Custom limits and pricing.

Annual billing shown where applicable; Free Trial is one-time.

✓ Use This If
You want a no-cost first pass to see whether Rask will dub a video cleanly without breaking the visuals.
You mainly care about preserving the original frame, overlays, and general render stability.
You need a broad language-localization platform and can upgrade later for lip sync.
✕ Skip This If
You need to validate lip sync or face regeneration on the free plan.
You need to hear and judge the translated audio from a native downloadable file in the test flow.
Your video depends on localizing baked-in diagram labels or other text inside the frame.
video-generatorother-video-generatorvideoCreatorTeacherMarketingFounder
It could not be evaluated on the free trial. The report says lip sync is a Creator Pro-and-above feature on Rask's pricing page, so the free plan did not include it.
No. Burned-in text and on-screen labels stayed in English in the tested clips, including the banana-ripeness labels in the educational video.
They were unreliable in the Hindi->English clip. The caption layer surfaced 'HAR' and 'BHII' in Roman-script Hindi instead of English.
The report says 130+ languages for video/audio translation and 32 languages for voice cloning.
The Free Trial included 3 minutes total.
No. The outputs were captured via screen recording, and native downloads were not available in the test flow, so the dubbed audio itself could not be reviewed directly.

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